Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

The protocol shows a prototype of the at-home multi-modal data collection platform that supports research optimizing adaptive deep brain stimulation (aDBS) for people with neurological movement disorders. We also present key findings from deploying the platform for over a year to the home of an individual with Parkinson's disease.

My research supports automating adaptive deep brain stimulation or ADBS for Parkinson's disease in the comfort of someone's home. One question is whether this therapy can be monitored safely for a long period outside the clinic while ensuring patient privacy. Additionally, we're looking into the possibility of automatically adjusting ADBS parameters without the need for the patient to return to the clinic.

ADBS research needs data collection platforms to accurately measure movement quality as patients go about their daily lives and to remotely deliver updates to therapy algorithms. This protocol collects multiple modalities as patients move freely about their homes, including video data to capture isolated kinematic like finger movements. Our results allow us to explore changes in Parkinson's disease over long periods of time, and they let us ask what measurements are necessary to analyze and treat the varied symptoms of Parkinson's disease outside clinical observation.